AgentIndex icon
AgentIndex
beever-atlas logo
beever-atlas
★ 451
vs
wa_llm logo
wa_llm
★ 171

beever-atlas vs wa_llm

beever-atlas: Beever Atlas automatically pulls conversations from Slack, Discord, Microsoft Teams, and Mattermost, extracts atomic facts, deduplicates them, and clusters them into topic pages with citations. It provides an LLM-first wiki that grows on its own, and allows natural language querying with answers cited back to source messages. The system also offers an MCP server for integration with AI agents like Claude Code and Cursor.; wa_llm: wa_llm is an AI-powered WhatsApp bot designed to join groups, monitor conversations, and generate intelligent, LLM-based summaries. It also offers context-aware responses, knowledge base integration, and a REST API for management.

01

TL;DR

beever-atlas logo
beever-atlasRAG / Knowledge Base · ★ 451

Automatically build a browsable wiki from team chat history for onboarding and reference.

Read beever-atlas full review →
wa_llm logo
wa_llmRAG / Knowledge Base · ★ 171

Automating WhatsApp group management and information dissemination.

Read wa_llm full review →
02

Side-by-Side Comparison

Field
beever-atlas logobeever-atlas
wa_llm logowa_llm
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 451
★ 171
License
Apache-2.0
MIT
Install Command
git clone https://github.com/beever-ai/beever-atlas.git && cd beever-atlas && ./atlas
git clone https://github.com/ilanbenb/wa_llm.git && cd wa_llm && cp .env.example .env && docker compose up -d
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
discord-bot, fastapi, gemini
WhatsApp Bot, LLM, Conversation Summary
03

Features

beever-atlas logobeever-atlas
01Multi-Platform Integration (Slack, Discord, Teams, Mattermost)
02Message Sync (on-demand or scheduled, resumable, rate-limit aware)
03Memory Ingestion (6-stage ADK pipeline extracting facts, entities, relationships)
04LLM Wiki (auto-maintained per-channel wiki with topics, decisions, citations)
05QA Agent (streaming answers with semantic/graph hybrid retrieval)
wa_llm logowa_llm
01Smart LLM-based conversation summaries
02Knowledge base integration for context-aware answers
03Persistent message history with PostgreSQL + `pgvector`
04Automated group chat responses (when mentioned)
05REST API with Swagger documentation
04

Use Cases

beever-atlas logobeever-atlas
↳Automatically build a browsable wiki from team chat history for onboarding and reference.
↳Query team knowledge in natural language with answers cited back to original messages.
↳Integrate with AI coding assistants via MCP to access team knowledge from within Claude Code or Cursor.
wa_llm logowa_llm
↳Automating WhatsApp group management and information dissemination.
↳Summarizing lengthy group conversations for quick catch-up.
↳Providing context-aware answers within WhatsApp groups using a knowledge base.
↳Facilitating AI-powered interaction in WhatsApp communities.
↳Archiving and searching WhatsApp conversation history.
FAQ

FAQ

What is the difference between beever-atlas and wa_llm?
Both beever-atlas and wa_llm are in the RAG / Knowledge Base category. beever-atlas has 451 stars, while wa_llm has 171 stars.
Which is better, beever-atlas or wa_llm?
The best choice depends on your use case. Choose beever-atlas if Automatically build a browsable wiki from team chat history for onboarding and reference., and wa_llm if Automating WhatsApp group management and information dissemination..
Is beever-atlas free or open source?
Yes, beever-atlas is open source on GitHub (Apache-2.0).
Is wa_llm free or open source?
Yes, wa_llm is open source on GitHub (MIT).
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